PeachYOLO: A Lightweight Algorithm for Peach Detection in Complex Orchard Environments
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3411644
Abstract: Precise fruit recognition is crucial for the automated picking of peaches. However, practical implementation encounters challenges, including high costs and low efficiency, which hinder the commercialization of picking robots. To tackle these challenges, this study… read more here.
Keywords: detection; orchard environments; detection complex; peach detection ... See more keywords
LGVM-YOLOv8n: A Lightweight Apple Instance Segmentation Model for Standard Orchard Environments
Sign Up to like & getrecommendations! Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15121238
Abstract: Accurate fruit target identification is crucial for autonomous harvesting robots in complex orchards, where image segmentation using deep learning networks plays a key role. To address the trade-off between segmentation accuracy and inference efficiency, this… read more here.
Keywords: instance segmentation; yolov8n lightweight; lgvm yolov8n; orchard environments ... See more keywords
An Attention-Enhanced Bottleneck Network for Apple Segmentation in Orchard Environments
Sign Up to like & getrecommendations! Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15171802
Abstract: As global food demand continues to rise, conventional agricultural practices face increasing difficulty in sustainably meeting production requirements. In response, deep learning-driven automated systems have emerged as promising solutions for enhancing precision farming. Nevertheless, accurate… read more here.
Keywords: orchard environments; segmentation; bottleneck; attention ... See more keywords